libtorch-bin: 1.7.1 -> 1.8.0
Changelog: https://github.com/pytorch/pytorch/releases/tag/v1.8.0
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@ -18,7 +18,7 @@ let
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# this derivation. However, we should ensure on version bumps
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# that the CUDA toolkit for `passthru.tests` is still
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# up-to-date.
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version = "1.7.1";
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version = "1.8.0";
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device = if cudaSupport then "cuda" else "cpu";
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srcs = import ./binary-hashes.nix version;
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unavailable = throw "libtorch is not available for this platform";
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@ -1,14 +1,14 @@
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version: {
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x86_64-darwin-cpu = {
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url = "https://download.pytorch.org/libtorch/cpu/libtorch-macos-${version}.zip";
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sha256 = "0n93r7bq6wjjxkczp8r5pjm1nvl75wns5higsvh7gsir0j6k7b5b";
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hash = "sha256-V1lbztMB09wyWjdiJrwVwJ00DT8Kihy/TC2cKmdBLIE=";
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};
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x86_64-linux-cpu = {
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url = "https://download.pytorch.org/libtorch/cpu/libtorch-cxx11-abi-shared-with-deps-${version}%2Bcpu.zip";
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sha256 = "0gpcj90nxyc69p53jiqwamd4gi7wzssk29csxfsyxsrzg3h36s7z";
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hash = "sha256-xBaNyI7eiQnSArHMITonrQQLZnZCZK/SWKOTWnxzdpc=";
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};
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x86_64-linux-cuda = {
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url = "https://download.pytorch.org/libtorch/cu102/libtorch-cxx11-abi-shared-with-deps-${version}.zip";
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sha256 = "01z61ryrflq306x7ay97k2fqc2q2z9c4c1zcnjfzr6412vg4fjb8";
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hash = "sha256-rNEyE4+jfeX7cU0aNYd5b0pZGYT0PNPnDnS1PIsrMeM=";
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};
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}
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